Data Engineer (Data Engineering Team)

We are a leading trading platform recognized for industry-awarded products with cutting-edge technology and seamless client experience. The company is rapidly expanding globally and values skilled talent to join its growing team.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Minimum 3 years of experience in data engineering or related field.
• Proven experience with Redshift and Snowflake.
• Experience with DBT.
• Experience with Apache Airflow.
• Proficiency in Python for data pipeline development and scripting.
• Experience with AWS cloud services including S3, EC2, and EMR.
• Familiarity with Kafka for real-time data streaming.
• Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
• Project management skills using Jira or similar tools.
• Ability to collaborate effectively with cross-functional teams and understand business data needs.
• Strong problem-solving, proactive troubleshooting, and critical thinking.
• Adaptable and open to learning new technologies and methodologies.

• Design, develop, and maintain data pipelines that ingest, process, and deliver data from various sources, ensuring data quality and reliability.
• Create and maintain data models to support reporting, analytics, and business intelligence, optimizing data structures.
• Implement ETL processes including data transformation, aggregation, and enrichment.
• Monitor and resolve data quality issues, implement validation processes, and establish data governance.
• Manage and optimize data storage, processing, and distribution systems for scalability and performance.
• Collaborate with data scientists, analysts, and cross-functional teams to meet business data requirements.
• Document data engineering processes, pipelines, and systems for knowledge sharing.